One-player game based influential maximization scheme for social cloud service networks

Citations

SCOPUS

1

초록

An effective interaction between the Social Network Services (SNS) and Cloud Computing (CC) enables the connection of people to the ubiquitous computing universe. The integration of SNS and CC is a technological revolution that presents the future of connectivity and reachability. This study explores the novel paradigm for future Internet of Things (IoT). Although there have been some studies in social-driven IoT, they merely consider the CC technique to improve service qualities and influences. In this study, S. Kim develops a novel cloud based SNS control scheme based on the reinforcement learning approach. To maximize the total SNS system performance, social services have been adaptively executed in the cloud system while taking into account the social welfare. This study can capture the properties of SNS and CC, and provides an effective solution for the social cloud system. © Springer Nature Switzerland AG 2019.

키워드

Influence Maximization ProblemReinforcement Learning MechanismRepeated Game ModelSocial Cloud (SC)Team Formation Problem
제목
One-player game based influential maximization scheme for social cloud service networks
저자
Kim, Sungwook
DOI
10.1007/978-3-319-93058-9_13
발행일
2019
유형
Book Chapter
저널명
EAI/Springer Innovations in Communication and Computing
페이지
175 ~ 184